logistic_default 0 1
0 4500 1013
1 145 319
[1] "Work in Progress"
Confusion Matrix and Statistics
actual
predictions 0 1
0 4398 836
1 247 496
Accuracy : 0.8188
95% CI : (0.8088, 0.8285)
No Information Rate : 0.7771
P-Value [Acc > NIR] : 1.291e-15
Kappa : 0.379
Mcnemar's Test P-Value : < 2.2e-16
Precision : 0.66756
Recall : 0.37237
F1 : 0.47807
Prevalence : 0.22285
Detection Rate : 0.08298
Detection Prevalence : 0.12431
Balanced Accuracy : 0.65960
'Positive' Class : 1
Report
The accuracy for Logistic Regression Model is 0.8062573.
The accuracy for Random Forest Model is 0.8179689.
This report was generated on February 16, 2020.
Created by: Vignesh EA
Confidential: Nothing like that!